Dharhas Pothina - How many dataframe libraries do you need to change a lightbulb? | PyData NYC 2024 скачать в хорошем качестве

Dharhas Pothina - How many dataframe libraries do you need to change a lightbulb? | PyData NYC 2024

www.pydata.org “Have you tried [insert a DataFrame Library]? It will change everything!” ~ My enthusiastic colleagues every other week. The DataFrame landscape has never been more exciting, from mature libraries like pandas, Dask, and PyArrow, to newer ones like Polars, DuckDB, and Ibis. Let’s get past the hype and evaluate contexts and domains where they excel—whether it’s efficient eager execution, single machine performance, or large-scale data processing. PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R. PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases. 00:00 Welcome! 00:10 Help us add time stamps or captions to this video! See the description for details. Want to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/numfocus/YouTubeVi...